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Horizontal Scaling for Containerized Application Using Hybrid Approach
Author(s) -
Mahendra Pratap Yadav,
Gaurav Raj,
Harishchandra A. Akarte,
Dharmendra Kumar Yadav
Publication year - 2020
Publication title -
ingénierie des systèmes d information
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.161
H-Index - 8
eISSN - 2116-7125
pISSN - 1633-1311
DOI - 10.18280/isi.250601
Subject(s) - provisioning , cloud computing , elasticity (physics) , computer science , workload , distributed computing , response time , utility computing , the internet , throughput , computer network , operating system , cloud computing security , wireless , materials science , composite material
Received: 3 October 2020 Accepted: 5 December 2020 Cloud computing is a paradigm to provide services to end-users through the Internet. The availability of services to end-users is dependent on various factors such as the availability of computing resources as well as the number of users to access those services. To manage the real-time fluctuating workload cloud providers use elasticity mechanisms. Elasticity is one of the important characteristics of cloud computing that dynamically allocates computing resources to manage the fluctuating workload. The failure of allocation/deallocation of computing resources at the right moment leads to SLA violation, degradation of services performance, maximum power consumption, minimum throughput, and maximum response time. To address these challenges, we have proposed a hybrid approach to perform horizontal elasticity. The proposed approach uses both reactive and proactive approaches for provisioning/de-provisioning of computing resources. The simulation results of the proposed model show that performance of system has improved in terms of CPU utilization, response time, and throughput.

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